How do economic policy uncertainty and geopolitical risk drive Bitcoin volatility?

We investigate how economic policy uncertainty (EPU) and geopolitical risks (GPR) impact Bitcoin volatility with respect to factors related to type and nationality of uncertainty, investigated period, relationship horizon and extreme conditions. Applying ARDL model and quantile regression for monthly data from August 2010 to September 2021, we reveal that June 2014 corresponds to a key date that marks a reversal in the investigated relationship. Furthermore, we show that the relationship between uncertainty and bitcoin volatility changes according to different factors. US uncertainty has short run effects on Bitcoin volatility, while China’s uncertainty has rather long run effects. Moreover, Bitcoin volatility responds in the same manner to US EPU and GPR, while, it responds differently to China's EPU and GPR. In extreme quantiles, we find that Bitcoin hedges against US EPU and GPR. Further, Bitcoin hedges against either individual or joint effects of US uncertainty, but not both.     

公共投资就业效应的一个解释——基于CES生产函数的分析及其检验

本文在分析CES生产函数过程中引入劳动力市场,探讨了公共投资与就业的联系.本文认为,公共投资是通过劳动工资弹性来影响就业的.公共投资增加会引起劳动需求的工资弹性提高,而公共投资的溢出效应则会导致企业实际工资支出水平降低,两方面原因的共同作用引起就业的增长.在此分析基础上,本文用ARDL方法构建了一个多方程模型,并用中国的数据进行了检验.为提高分析的有效性,我们用SUR方法对模型做了系统估计,并进一步通过方程转化对变量的短期波动和长期均衡关系进行了探讨.实证研究发现,中国的公共投资增长在短期减少就业,但长期内对就业有显著的正效应.     

Asymmetric effects of industrial production,money supply and exchange rate changes on stock returns in Turkey

The aim of this article is twofold: First, it examines the asymmetric effects of industrial production, money supply and RER on stock returns in Turkey by using the non-linear autoregressive distributed lag (NARDL) model over the periods of 1994:01–2017:05 and 2002:01–2017:05. Second, it tries to determine whether there is a change of these macroeconomic variables’ effects on stock returns after the 2001 financial crisis since after 2002 period represents a structural break from the past in terms of economic, political and macroeconomic policy approaches. The study finds that the effects of the changes in industrial production, money supply and RER on stock returns are asymmetric, and the asymmetries are larger after the 2002 subsample compared to the full sample period. The empirical results further suggest that tight monetary policies appear to retard the stock returns more than easy monetary policies that stimulate them.     

Does remittance fuel labour productivity in Bangladesh? The application of an asymmetric non-linear ARDL approach

Bangladesh, a labour-abundant country, is finally learning to reap gains from her labour abundance. The historical under-optimized capital–labour ratio of Bangladesh is slowly moving towards its optimum as the migration of its labour force and consequent inflow of remittance strategically converts its abundant labour into capital. Though the fear that remittance as an alternative source of earning may result in Dutch disease for existing family members; annual data for 1982–2013 and through applying standard testing methodologies, our empirical findings suggest that such a fear is not valid since remittance flow significantly improves domestic labour productivity in Bangladesh in the long run.     

How Islamic are Islamic banks? A non-linear assessment of Islamic rate – conventional rate relations

In this paper, we perform a non-linear assessment of Islamic rate – conventional rate relations for the case of Malaysia. Using monthly data covering the period January 1999 to November 2016, we find strong evidence supporting non-linear reactions of the Islamic investment rates to conventional rates in the long run and/or short-run for all matched maturities. More precisely, the Islamic investment rates exhibit faster upward movement (slower downward movement) in responses to conventional deposit rate increases (decreases). The asymmetric pricing behaviour of Islamic banks however tends to weaken as maturity lengthens. Accordingly, we infer that Islamic banks do not rigidly peg their investment deposit rates to conventional deposit rates as some have claimed in questioning the Islamicity of Islamic banks.     

Revisiting the relationship between suicide and unemployment: Evidence from linear and nonlinear cointegration

This study employs the linear and nonlinear ARDL cointegration methodologies to examine the potential symmetric and asymmetric responses of suicide rates to unemployment rates in the US from 1928 to 2013. Our results suggest that suicide rates are pro-cyclical with respect to the business cycle (measured by changes in the unemployment rate) after extensively controlling for divorce and fertility rates. Unemployment has symmetric long-run effects on the age-adjusted suicide rate and four age-specific (from ages 25–34 to 55–64) suicide rates, while the effect of an economic expansion on suicide rates for those aged over 45 is greater than the effect of an economic recession. These findings imply that the effect of an economic expansion on the decrease of the suicide rate is higher than the effect of an economic recession on the increase of the suicide rate for individuals aged over 45. Therefore, intervention designed to reduce suicidal behaviors should emphasize periods of economic recession more than periods of economic expansion for those of middle age and beyond.     

On estimating long-run effects in models with lagged dependent variables

A common procedure in economics is to estimate long-run effects from models with lagged dependent variables. For example, macro panel studies frequently are concerned with estimating the long-run impacts of fiscal policy, international aid, or foreign investment.Our analysis points out the hazards of this practice. We use Monte Carlo experiments to demonstrate that estimating long-run impacts from dynamic models produces unreliable results.Biases can be substantial, sample ranges very wide, and hypothesis tests can be rendered useless in realistic data environments. There are three reasons for this poor performance. First, OLS estimates of the coefficient of a lagged dependent variable are downwardly biased in finite samples. Second, small biases in the estimate of the lagged, dependent variable coefficient are magnified in the calculation of long-run effects. And third, and perhaps most importantly, the statistical distribution associated with estimates of the LRP is complicated, heavy-tailed, and difficult to use for hypothesis testing. While many of the underlying problems have been long-known in the literature, the continued widespread use of the associated empirical procedures suggests that researchers are unaware of the extent and severity of the estimation problems. This study aims to illustrate their practical importance for applied research.     

Asymmetric exchange rate pass-through in an emerging market economy: The case of Mexico

This paper applies a nonlinear Autoregressive Distribute Lag to examine the exchange rate pass-through into consumer price inflation in Mexico. Overall, the evidence confirmed that ignoring the asymmetric (sign) effect of exchange rate movements on inflation may lead to incorrect inferences and policy conclusions. Exchange rate fluctuation is transferred to prices level more during currency depreciation than appreciation. We compare the macroeconomic performances between pre- and post-inflation targeting, and our findings reaffirmed that the pass-through has weakened significantly after launching inflation targeting in 2001. This result implies that low inflation in the sample period examined is good for Mexico because exchange rate pass-through declines after 2001. Consumer prices have become less responsive to exchange rate movements. We further observe a revival (strengthening) of oil price pass-through to domestic inflation in the post- inflation targeting period.     

Macroeconomic implications of population aging: Evidence from Japan

Population aging is an important feature of Japan’s economy, which since 2006 has become a super-aged society. Changes in the age distribution of the population have important macroeconomic implications. Using annual data for 1960–2015, this study tests whether population age shares have long run influences on domestic saving, domestic investment, real GDP, inflation, the fiscal balance, and the current account balance. Cointegration is found between each macroeconomic variable and the demographic variables, which is a key finding of the analysis. The main empirical findings from the long-run cointegrating equations are that the effects of demographic change on the macroeconomic variables are statistically significant and quite strong. Alternative variants of the United Nation’s population projections provide further evidence of the importance of the demographic changes for Japan’s macroeconomic future. This study finds that future trends of key macroeconomic variables are not monotonic, but rather that long swings in the demographic factors produce a mixture of moderate growth periods and episodes of GDP stagnation.     

Determinants in the forecast of the gross national income of China and India from 1952 to 2015

In 2015, China and India's population represented approximately 35.74% of the total number of people living in the world. Due to the historical context and behavior of the most relevant indicators, this study proposes to utilize a wide variety of demographic, economic, and production indicators from 1952 to 2015 to assess their impact on the GNI in China and India. A comprehensive and new fangled modeling process with stepwise, regularization and distributed lag regression approaches is presented. Accordingly, theoretical results were corroborated through extensive diagnostic tests and an empirical check of the models' predictive capacity. The findings show that GNI in China is most influenced by variables such as reserves in foreign currency and the dependency ratio; whereas, variables of energy production and birth rate were generated for India. Therefore, it's the timing for China to relax the universal two-child policy. Due to the current value below the substitution rate, a gloomy outlook for China's future population and economy is predicted. Conversely, a positive outlook is forecasted for India, given the low price in the future of oil- India's primary raw material.